相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Novel statistical forecasting models for crude oil price, gas price, and interest rate based on meta-heuristic bat algorithm
Meysam Naderi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework
Krzysztof Drachal
ENERGIES (2018)
A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting
Yishan Ding
ENERGY (2018)
A hybrid model based on selective ensemble for energy consumption forecasting in China
Jin Xiao et al.
ENERGY (2018)
China's dependency on foreign oil will exceed 80% by 2030: Developing a novel NMGM-ARIMA to forecast China's foreign oil dependence from two dimensions
Qiang Wang et al.
ENERGY (2018)
Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques
Qiang Wang et al.
ENERGY (2018)
Volatility forecasting across tanker freight rates: The role of oil price shocks
Konstantinos Gavriilidis et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2018)
Forecasting crude oil price volatility
Ana Maria Herrera et al.
INTERNATIONAL JOURNAL OF FORECASTING (2018)
Forecasting oil and stock returns with a Qual VAR using over 150 years off data
Rangan Gupta et al.
ENERGY ECONOMICS (2017)
Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels
Taiyong Li et al.
ENERGIES (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Mid-Term Energy Demand Forecasting by Hybrid Neuro-Fuzzy Models
Hossein Iranmanesh et al.
ENERGIES (2012)
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
Arash Bahrammirzaee
NEURAL COMPUTING & APPLICATIONS (2010)
Determination of Optimal SVM Parameters by Using GA/PSO
Yuan Ren et al.
JOURNAL OF COMPUTERS (2010)
Surveying stock market forecasting techniques - Part II: Soft computing methods
George S. Atsalakis et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
Lean Yu et al.
ENERGY ECONOMICS (2008)
A GA-based feature selection and parameters optimization for support vector machines
Cheng-Lung Huang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
On the predictive accuracy of crude oil futures prices
S Abosedra et al.
ENERGY POLICY (2004)
A semiparametric approach to short-term oil price forecasting
C Morana
ENERGY ECONOMICS (2001)
分享论文
